Triple

T17178830
Position Surface form Disambiguated ID Type / Status
Subject MOPITT E416927 entity
Predicate relatedInstrument P7726 FINISHED
Object TES
TES (Tropospheric Emission Spectrometer) is a NASA satellite instrument designed to measure atmospheric trace gases and study the chemical composition of the Earth's troposphere.
 E1254304 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: TES | Statement: [MOPITT, relatedInstrument, TES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TES
Context triple: [MOPITT, relatedInstrument, TES]
  • A. TS
    TS is the common abbreviation for Windows Terminal Services, Microsoft’s legacy remote desktop and application virtualization technology for Windows servers.
  • B. TS
    TS is the vehicle registration code assigned to vehicles registered in Tsageri Municipality in Georgia.
  • C. TS
    TS is the commonly used abbreviation for the Supreme Court of Spain, the country's highest judicial authority in most legal matters.
  • D. TS
    TS is the vehicle registration code used on license plates for the Province of Trieste in northeastern Italy.
  • E. TS
    TS is the official vehicle registration code used on motor vehicles registered in the Indian state of Telangana.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TES
Triple: [MOPITT, relatedInstrument, TES]
Generated description
TES (Tropospheric Emission Spectrometer) is a NASA satellite instrument designed to measure atmospheric trace gases and study the chemical composition of the Earth's troposphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TES
Target entity description: TES (Tropospheric Emission Spectrometer) is a NASA satellite instrument designed to measure atmospheric trace gases and study the chemical composition of the Earth's troposphere.
  • A. TS
    TS is the vehicle registration code assigned to vehicles registered in Tsageri Municipality in Georgia.
  • B. TS
    TS is the official vehicle registration code used on motor vehicles registered in the Indian state of Telangana.
  • C. TS
    TS is the common abbreviation for Windows Terminal Services, Microsoft’s legacy remote desktop and application virtualization technology for Windows servers.
  • D. TS
    TS is the commonly used abbreviation for the Supreme Court of Spain, the country's highest judicial authority in most legal matters.
  • E. TS
    TS is the Technical Secretariat of the Organisation for the Prohibition of Chemical Weapons, the body responsible for implementing and verifying compliance with the Chemical Weapons Convention.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc0f9a288190b0ddfb673bd8e84b completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0148455afc8190931ba1316705ae0c completed May 11, 2026, 3:08 a.m.
NEDg Description generation batch_6a014a2f8fec8190b1303967a76ceb63 completed May 11, 2026, 3:17 a.m.
NED2 Entity disambiguation (via description) batch_6a014ab0be388190a6ce49cff469fe81 completed May 11, 2026, 3:19 a.m.
Created at: April 10, 2026, 5:37 a.m.